The present invention relates to a method of adjusting control commands for moving a medical camera connected to a motorized support structure, wherein the adjustment is based on images provided by the camera. Based on a comparison of at least two images provided by the camera, an actual motion of the camera is determined and compared with an intended motion defined by a control command forwarded to the motorized support structure. In case a deviation between the intended motion and the actual motion is determined, a correction is applied to the control command such that the actual motion of the camera coincides with the intended motion.
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2. The method according to claim 1, wherein the determining the correction data comprises correlating the intended motion data with the actual motion data in a coordinate system that is common to both the intended motion data and the actual motion data, the coordinate system comprising a coordinate system of an associated display device that is adapted to display images that are received by the associated imaging device.
This invention relates to motion tracking and correction in imaging systems, particularly for aligning intended motion data with actual motion data to improve accuracy in applications such as medical imaging, robotics, or augmented reality. The problem addressed is the misalignment between planned movements and actual movements of an imaging device, which can lead to errors in image capture, navigation, or display. The method involves determining correction data by correlating intended motion data with actual motion data within a shared coordinate system. This coordinate system is based on the display device associated with the imaging system, ensuring that both the intended and actual motion data are referenced in the same spatial framework. By aligning these datasets, the system can identify discrepancies and apply corrections to minimize errors. The correction data may then be used to adjust the imaging device's movements, refine image processing, or enhance the accuracy of displayed outputs. The approach ensures that the imaging device operates with higher precision, reducing distortions or inaccuracies caused by uncompensated motion differences. This is particularly useful in scenarios where real-time alignment between planned and actual movements is critical, such as in surgical navigation or robotic-assisted procedures. The use of a common coordinate system simplifies the correlation process and improves the reliability of the corrections applied.
7. The method according to claim 1, wherein the determining the actual motion data comprises determining the actual motion data by image processing determining the motion of the associated imaging device relative to the associated structure displayed on an associated display device with a first image corresponding to the first image data and a second image corresponding to the second image data.
This invention relates to motion tracking systems that use image processing to determine the movement of an imaging device relative to a displayed structure. The problem addressed is accurately tracking the motion of an imaging device, such as a camera or sensor, in real-time to ensure precise alignment with a displayed structure, such as a virtual or augmented reality environment. Traditional motion tracking methods often suffer from inaccuracies due to environmental factors or computational delays, leading to misalignment between the imaging device and the displayed content. The invention involves capturing a first image and a second image of the structure using the imaging device, where these images correspond to first and second image data sets. The motion of the imaging device relative to the structure is then determined by processing these images. This image-based motion tracking allows for real-time adjustments to ensure the imaging device remains properly aligned with the displayed structure, improving accuracy and user experience in applications like virtual reality, augmented reality, or medical imaging. The method leverages visual data to compute positional and rotational changes, enabling dynamic compensation for movement. This approach enhances stability and precision in environments where traditional tracking methods may fail.
8. The method according to claim 1 wherein the determining the correction data comprises determining the correction data for every control command received by the associated moving device.
The invention relates to a method for improving the accuracy of control commands in a system involving moving devices, such as robotic arms or automated machinery. The problem addressed is the inherent inaccuracies in control commands due to factors like mechanical wear, environmental conditions, or calibration drift, which can lead to positioning errors or performance degradation over time. The method involves dynamically determining correction data for each control command received by a moving device. This correction data compensates for deviations between the intended and actual movements of the device. By applying this correction data in real-time, the system ensures that the moving device follows the intended path or position more precisely. The correction data may be derived from sensor feedback, historical performance data, or predictive models that account for environmental or mechanical variations. The method is particularly useful in applications where high precision is critical, such as industrial automation, medical robotics, or autonomous systems. By continuously adjusting control commands with up-to-date correction data, the system maintains accuracy without requiring frequent manual recalibration or system shutdowns. This approach enhances reliability and reduces downtime in automated processes.
9. The method according to claim 1 further comprising controlling an associated display device to not show in a sequence of images a motion of the associated imaging device that deviates from the intended motion.
This invention relates to image processing systems that stabilize video footage by compensating for unintended camera motion. The problem addressed is the presence of unwanted movement in captured video, such as shaky or erratic motion, which degrades visual quality and viewer experience. The invention provides a method to detect and correct such deviations from the intended camera motion, ensuring smoother playback. The method involves analyzing a sequence of images to identify motion patterns that deviate from the planned or desired movement of the imaging device. Once detected, these deviations are filtered out or compensated for during playback. The system may use motion tracking algorithms to distinguish between intentional and unintentional movements, applying stabilization techniques to smooth the footage while preserving the intended motion. The display device is controlled to render the corrected sequence, effectively hiding the unwanted motion from the viewer. The invention may also include additional features such as adaptive stabilization, where the correction strength varies based on the severity of the detected motion, or user-adjustable settings to fine-tune the stabilization effect. The system ensures that only the intended camera motion is visible, improving the overall stability and professionalism of the video output. This is particularly useful in handheld recording, action cameras, or scenarios where stabilization hardware is unavailable.
10. The method according to claim 1, wherein the determining the correction data comprises applying a plausibility check to determine whether the determined correction of the control command is reasonable, particularly wherein a reasonable correction of the control command does not exceed a maximum limit and/or a minimum limit.
This invention relates to control systems for industrial or automated processes, particularly those involving the correction of control commands to ensure accurate and safe operation. The problem addressed is the need to verify that corrections applied to control commands are reasonable and within acceptable limits to prevent system instability or unsafe conditions. The method involves determining correction data for a control command by applying a plausibility check. This check evaluates whether the correction is reasonable by ensuring it does not exceed predefined maximum or minimum limits. The plausibility check helps validate that the correction is appropriate for the system's operational constraints, preventing excessive adjustments that could lead to instability or damage. The method may be used in various control applications, such as industrial automation, robotics, or process control systems, where maintaining stable and safe operation is critical. The plausibility check ensures that corrections remain within safe operational boundaries, enhancing system reliability and performance.
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August 30, 2019
May 28, 2024
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